MétaCan
Menu
Back to cohort
Record W4221093737 · doi:10.1002/mdc3.13437

Spastic Paraplegia Type 7 and Movement Disorders: Beyond the Spastic Paraplegia

2022· article· en· W4221093737 on OpenAlexaff
Michel Sáenz‐Farret, Anthony E. Lang, Lorraine V. Kalia, Inês Cunha, Mário Sousa, G. Kuhlman, Christos Ganos, Renato P. Munhoz, Alfonso Fasano, Carlos Eduardo Piña‐Avilés, Carlos Zúñiga‐Ramírez

Bibliographic record

VenueMovement Disorders Clinical Practice · 2022
Typearticle
Languageen
FieldNeuroscience
TopicHereditary Neurological Disorders
Canadian institutionsOntario Brain InstituteToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsHereditary spastic paraplegiaDystoniaParkinsonismMovement disordersParaplegiaSpasticMedicineAtaxiaCerebellar ataxiaPhysical medicine and rehabilitationPhenotypePediatricsInternal medicineGeneticsPsychiatryCerebral palsyBiologyGeneSpinal cord

Abstract

fetched live from OpenAlex

Background: Spastic paraplegia type 7 (SPG7) mutations can present either as a pure form or a complex phenotype with movement disorders. Objective: Describe the main features of subjects with SPG7 mutations associated with movement disorders. Methods: We analyzed the clinical and paraclinical information of subjects with SPG7 mutations associated with movement disorders. Results: Sixteen affected subjects from 11 families were identified. Male sex predominated (10 of 16) and the mean age at onset was 41.25 ± 16.1 years. A cerebellar syndrome was the most frequent clinical movement disorder phenotype (7 of 16); however, parkinsonism (2 of 16), dystonia (1 of 16), and mixed phenotypes between them were also seen. The "ears of the lynx" sign was found in four subjects. A total of nine SPG7 variants were found, of which the most frequent was the c.1529C > T (p.Ala510Val). Conclusion: This case series expands the motor phenotype associated with SPG7 mutations. Clinicians must consider this entity in single or familial cases with combined movement disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.346
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueMovement Disorders Clinical PracticeSame topicHereditary Neurological DisordersFrench-language works237,207